An Efficient Line Search Algorithm for Large Scale Optimization by Abbas Al-Bayati, Ivan Latif

“…In this work we present a new algorithm of gradient descent type, in which the stepsize is computed by means of simple approximation of the Hessian Matrix to solve nonlinear unconstrained optimization function. …”
Get full text

Urbanization leads to asynchronous homogenization of soil microbial communities across biomes by Bangxiao Zheng, Nan Hui, Ari Jumpponen, Changyi Lu, Richard Pouyat, Katalin Szlavecz, David A. Wardle, Ian Yesilonis, Heikki Setälä, D. Johan Kotze

“…Despite these asynchronous responses—bacteria adjusting and homogenizing more than fungi—overlapping functional traits between bacteria and fungi help maintain functional resilience in urban ecosystems.…”
Get full text

Two-Stage Separator Level Coupling Control Based on ASFW-DDPG Algorithm by Xiaoyong He, Han Pang, Boying Liu, Yuqing Chen

“…The adaptive smoothing factor weight function and the reward function are meticulously designed to improve convergence speed and stability. …”
Get full text

Effects of Altitude on Tea Composition: Dual Regulation by Soil Physicochemical Properties and Microbial Communities by Xirong Ren, Minyao Lin, Jiani Liu, Waqar Khan, Hongbo Zhao, Binmei Sun, Shaoqun Liu, Peng Zheng

Get full text

A Novel Nonconvex Penalty Method for a Rank Constrained Matrix Optimization Problem and its Applications by Zhang Wenjuan, Yao Jiayi, Xiao Feng, Wang Yuping, Wu Yulian

“…To solve it, we first design a penalty model in which the penalty term can be expressed as a sum of specific functions defined on smallest singular values of the matrix in question. …”
Get full text

Research on a Rapid Three-Dimensional Compressor Flow Field Prediction Method Integrating U-Net and Physics-Informed Neural Networks by Chen Wang, Hongbing Ma

“…To enhance physical interpretability, the network’s loss function incorporates both the Euler equations and gradient constraints. …”
Get full text

Predicting and testing a gene network regulating seed germination in Arabidopsis by Ming Yang, Yixing Wang

“…We found that TIR1, AFB1, and AFB4 exhibited a down-expression gradient and AFB2, AFB3, and AFB5 an up-expression gradient from FUN to CSC, and members in each of the two AFB groups were linearly correlated in expression in FUN, CSC, and the distal seed coat (DSC). …”
Get full text

Results of the alcohol septal ablation in combination with simultaneous endoprosthesis of coronary arteries in treatment of patients, suffering obstructive hypertrophic cardiomyopa... by K. V. Rudenko, L. O. Nevmerzhytska, O. Yu. Dudnyk, S. M. Fanta, V. V. Lazoryshynets

“…Reduction of the systolic pressure gradient in the exit tract of the left ventriculus, mitral regurgitation, and the functional class characteristic in accordance to criteria of a New-York Association of Cardiologists in both groups in immediate and late periods of observation have appeared statistically proved. …”
Get full text

Arabidopsis Produces Distinct Subpopulations of Extracellular Vesicles That Respond Differentially to Biotic Stress, Altering Growth and Infectivity of a Fungal Pathogen by Benjamin L. Koch, Brian D. Rutter, M. Lucía Borniego, Meenu Singla‐Rastogi, Dillon M. Gardner, Roger W. Innes

“…ABSTRACT Extracellular vesicles (EVs) secreted by mammalian cells are highly heterogeneous in content and function. Whether this is also true for EVs secreted by plant cells is not yet known. …”
Get full text

Embedded circuit analysis and design method for reconfigurable metasurface element by Bincai Wu, Xingqi Xuan, Yuqi Chen, Jun Wen, Qijun Hu, Shilie Zheng, Ian Pratt, Xiaonan Hui, Xianmin Zhang

“…The authors propose a general design model based on low‐power embedded circuitry for a multi‐function metasurface element and give the corresponding numerical analysis. …”
Get full text

Optimal Weighting Factors Design for Model Predictive Current Controller for Enhanced Dynamic Performance of PMSM Employing Deep Reinforcement Learning by Muhammad Usama, Amine Salaje, Thomas Chevet, Nicolas Langlois

“…This paper presents a novel control strategy employing a deep reinforcement learning (DRL) scheme for online selection of optimal weighting factors in cost functions of the finite control set model predictive current controller of a permanent magnet synchronous motor (PMSM). …”
Get full text

Inhomogeneity of the Left Atrial Strain by Marina Leitman, Vladimir Tyomkin

“…<i>Background and Objectives</i>: Left atrial function is commonly assessed using speckle-tracking echocardiography, focusing on global strain averaged from the 4-chamber and 2-chamber views. …”
Get full text

Infiltration Characteristics and Hydrodynamic Parameters in Response to Topographic Factors in Bare Soil Surfaces, Laboratory Experiments Based on Cropland Fields of Purple Soil in... by Yong Wang, Ziting Ma, Dandan Li, Guirong Hou, Jiangkun Zheng

“…A significant linear function was fitted between the soil detachment rate and the infiltration rate at the gentle slopes (3°, 6°, 10°), whereas an exponential relationship was observed at the steep slopes (15°, 21°, and 27°). …”
Get full text

Estimating Wind Direction and Wind Speed Over Lakes With Surface Water Ocean Topography and Sentinel‐1 Satellite Observations by Katie A. McQuillan, George H. Allen, Jessica Fayne, Huilin Gao, Jida Wang

“…The estimated wind direction was then used as an input into a C‐band geophysical modeling function (GMF) to invert wind speed from Sentinel‐1 data. …”
Get full text

A national scale floodplain model revealing channel gradient as a key determinant of beaver dam occurrence and inundation potential can anticipate land-use based opportunities and... by Matthew Dennis, Christof Angst, Joshua R. Larsen, Emmanuel Rey, Annegret Larsen

“…This expansion brings with it opportunities for nature restoration, the provision of river ecosystem services and the return of naturally functioning floodplains. It also has the potential for conflict with existing human land-use through dam induced floodplain inundation and wetland development. …”
Get full text

Uneven landscapes inhabited by middle Miocene mammals from La Pava and Collón Cura formations in North Patagonia by Alejandro G. Kramarz, Eduardo S. Bellosi, Mariano Bond, Analía M. Forasiepi, Mercedes Fernández, Juan Carlos Fernicola, Guillermo Aguirrezabala, Daniella Teixeira de Rezende

“…We conclude that the heterogeneous landscape developed in Jacobacci basin was inhabited by diverse functional groups of Colloncuran mammals adapted to different climatic and floristic settings, and therefore they are not sensitive to small-scale environmental heterogeneity. …”
Get full text

Blast furnace layer lining erosion problem based on inverse the heat conduction model by SU Fu-yong, WEN Zhi

“…After determining the boundary conditions of the model, this inverse heat transfer problem is divided into three problems which are the direct problem, the sensitivity problem and the adjoint problem, and these were solved using the conjugate gradient method. The feasibility of this model was proved by the inversion results of different shape functions and then it was discussed that the initial guess shape and number of measurement points effect on the inversion results. …”
Get full text

Modeling hepatic steatosis with human adult stem cell-derived liver organoids by Liuyang Zhu, Sen Liu, Ze Wang, Yueyue Yang, Pinsheng Han, Wen Tong, Tianyu Zhao, Libo Wang, Tao Cui, Long Yang, Yamin Zhang

“…After differentiation, liver organoids (LOs) exhibited the functional characteristics and genomic features of mature hepatocytes. …”
Get full text

Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks by Pramit Pandit, Atish Sagar, Bikramjeet Ghose, Moumita Paul, Ozgur Kisi, Dinesh Kumar Vishwakarma, Lamjed Mansour, Krishna Kumar Yadav

Get full text

A Dynamic Neural Network Optimization Model for Heavy Metal Content Prediction in Farmland Soil by Kun Cao, Cong Zhang, Liangliang Li, Shuaifeng Li

“…Through comparison with support vector machine(SVM), light gradient boosting machine(LightGBM), RBFNN, and genetic algorithm optimizes the radial basis function neural network(GA-RBFNN), the experimental results demonstrate that the DNNOM is closer to the real value than the other four models, and the four error indicator values are also significantly lower than those of the other comparison models, which have higher prediction accuracy. …”
Get full text